Final_Next-Generation Procurement Artificial Intelligence (AI) Powered Acquisition Platform RFI_6-17-26.pdf

UNCLASSIFIED

(U) Request for Information: Next-Generation Procurement Artificial Intelligence (AI) Powered Acquisition Platform.

Agency: Defense Intelligence Agency (DIA)

Office: Chief Financial Office, Acquisition & Contracting (CFOAC)

General Information and Disclaimer This request for information (RFI) is issued solely for information and planning purposes and does not constitute a solicitation. The government may use the information received to inform a potential prototype project under Other Transaction Authority (OTA), pursuant to 10 U.S.C. § 4022. This announcement does not constitute a commitment by the government. All information submitted in response to this RFI is voluntary and the government will not compensate any respondent for any cost incurred in development of information provided to the government. This is not a request for proposal; but is a market research tool to determine potential firms capable of providing the supplies described herein prior to an issuance of a request for proposal. The government is not obligated to pay for any information received from potential sources as a result of this RFI. This does not constitute a solicitation and shall not be construed as a commitment by the government of any kind. Responses in any form are not offers and the government is under no obligation to award a contract or non-FAR based agreement (e.g. other transaction) as a result of this announcement. No funds are available to pay for preparation of Responses to this announcement. Any information submitted by Respondents to this technical description is strictly voluntary. Failure to submit a response will not prevent a company from participating in any future competition. Information provided should be unclassified. Any information submitted may be reviewed and used across the government.

Introduction

On behalf of the Chief Financial Office, Acquisition and Contracts (CFOAC), this Request for Information (RFI) is issued for market research and planning purposes only to inform of a potential future prototype effort under Other Transaction Authority (OTA). The Government seeks white papers from qualified organizations, including nontraditional contractors, traditional contractors, small businesses, startups, system integrators, and research institutions, on concepts for a next generation artificial intelligence-enabled acquisition procurement system that could enhance, streamline and modernize the procurement award process. The Government anticipates awarding an Other Transaction (OT) agreement to one or multiple Respondents under the authority described in 10 U.S.C. § 4022.

Background

The Defense Intelligence Agency (DIA) is exploring innovative approaches to improve the effectiveness, usability, transparency, and speed of the federal acquisition lifecycle through an AI-enabled procurement environment integrated with FAR, DFAR, and Agency processes. The envisioned capability would support acquisition professionals, program offices, legal and policy stakeholders, and industry participants with tools that improve market research, requirements development, solicitation drafting, proposal intake support, evaluation workflows, compliance checks, procurement analytics, and post-award insights.

Responses to this RFI will help identify leading commercial and emerging capabilities, understand technical and data integration considerations, and inform acquisition strategy for possible future OTA prototype effort.

Problems to Solve

The DIA CFOAC is seeking to leverage generative Artificial Intelligence/Machine Learning (AI/ML) capabilities that will accelerate the internal acquisition process. Currently, business operations rely on outdated technology and manually intensive processes that result in duplication of work, wasted labor hours, and major inefficiencies. The goal of embedding AI technology into an existing and recurring process is to reduce inefficiencies from manual tasks, workflows, requirements writing, and increase accuracy of repetitive tasks. The objective of solving this problem seeks to identify innovative concepts, commercial solutions, technical architectures, and implementation approaches for a prototype of a next generation AI-powered acquisition procurement system. The Government is particularly interested in capabilities that can operate in a secure (Unclassified and JWICS networks), auditable, human-centered environment and improve decision quality while reducing administrative burden across procurement planning and execution.

Significant Challenges

DIA’s CFOAC relies on outdated, manually intensive procurement technology that causes severe operational inefficiencies, duplicated work, and wasted labor hours. This enhanced needed AI capability technical solutions seeks to solve these specific challenges:

Manual Requirements Drafting: Teams write procurement documents from scratch without automated templates or predictive text tools.

Automate routine compliance validation while maintaining human oversight for critical decisions.

Human-Intensive Workflow Routing: Document approvals rely on sequential manual tracking rather than automated parallel routing Static Market Research: Professionals manually search disparate vendor databases instead of utilizing automated market intelligence aggregators.

Disconnected Data Repositories: Historical contracting data is trapped in isolated archives, preventing algorithmic forecasting or reuse of successful past actions.

Modernize an acquisition platform that the agency can securely deploy an advanced Artificial Intelligence and Machine Learning (AI/ML) procurement prototype across Unclassified and JWICS networks to automate workflows.

Project Goals

The Government is interested in prototype projects that demonstrate commercially available solutions, as opposed to a conceptual solution or solutions that require significant development activities. The top three focused areas an ideal solution(s) would result in Increased Efficiency and Accuracy of the procurement process (Streamlined), Improved Quality Assurance (Auditable), and Reduced Costs (Reducing Labor Hours). The Respondents(s) should have experience developing and producing AI industry innovation procurement system aligned with these project goals for the prototype:

Conduct and enhance market research by aggregating, organizing, and summarizing relevant acquisition, vendor, pricing, capability, and historical procurement information.

Maintain and operationalize current Federal Acquisition Regulation (FAR) and Defense Federal Acquisition Regulation Supplement (DFARS) content, with mechanisms for update monitoring, version control, traceability, and change alerts.

Generate accurate clause recommendations and clause matrices across FAR Part 16 contract types, including logic based on contract structure, competition approach, commerciality, funding, socioeconomic considerations, and other acquisition attributes.

Produce draft acquisition documentation and templates, including Determinations and Findings (D&Fs) and Justifications and Approvals (J&As), with configurable inputs, rationale support, and audit-ready traceability.

Provide explainable outputs with source attribution, workflow visibility, reviewer checkpoints, and human-in-the-loop approval controls.

Support role-based access, data segregation, records management, and configurable business rules to align with defense acquisition processes.

Demonstrate an architecture and transition approach capable of deployment to higher-security environments, including a pathway to the JWICS network.

White Paper Submission Instructions

Prospective Respondents interested in submitting a white paper should follow the below content requirements and submit responses by 12:00 pm ET on July 2, 2026. Respondents shall submit the white papers electronically to demario.grover@dodiis.mil. The Government, at its discretion, may or may not consider submissions made after this date. Prospective Respondents should have experience with the following to help meet project goals:

Delivery of Portfolio dashboards for management and reporting purposes

Shortening procurement timelines through advances in artificial intelligence Address enclave-aware architecture, cross-domain considerations, deployment constraints, and the technical approach for transition to JWICS or similarly restricted environments.

Interested parties should submit a white paper that, at a minimum, addresses the following listed points below.

1. Company or team overview, including identification of any nontraditional defense contractor participation, relevant past performance, and key technical capabilities.

2. Description of the proposed prototype concept and how it addresses the objectives and desired capabilities in this notice.

3. System architecture overview, including data sources, workflow design, user roles, security concept, and integration approach.

4. Approach to FAR/DFARS update management, clause matrix generation, and automated document drafting for D&Fs and J&As.

5. Approach to verification, validation, testing, and measurement of output quality, accuracy, and user trust.

6. Transition strategy, including scalability, sustainment, data rights considerations, and a pathway for deployment in classified or restricted environments, including JWICS.

7. Estimated prototype period of performance, rough order of magnitude cost range, major assumptions, and recommended milestones or demonstration events.

8. Respondents are encouraged to describe prototype maturity, test approach, user experience design, implementation schedule, and recommended phased demonstrations.

9. Identification of any Government-furnished information, access, interfaces, or policy decisions needed to execute the prototype.

10. Address how the prototype will ingest, structure, and maintain regulatory and policy data, including change management for FAR, DFARS, and agency-specific supplements if applicable.

All white papers shall clearly indicate if the Respondent is considered a traditional or nontraditional defense contractor in accordance with the definition at 10 U.S.C. § 3014. If proposing as a traditional defense contractor, the white paper shall clearly indicate if the Respondent’s prototype project team includes significant participation from a nontraditional defense contractor or nonprofit research institution, or if the Respondent will assume a minimum one-third cost share of the prototype project. When proposing significant participation from a nontraditional defense contract other than the Respondent, please include a rationale for the participation and why the Government should consider it to be significant to the prototype project. Failure to clearly address this requirement may disqualify the Respondent from further participation in the selection process.

Respondents should use their own determination to effectively present their technical solution in the white paper. Respondents must identify and explain in their white paper any assumptions made.

Respondents must clearly mark all proprietary information included in their submissions. At a minimum, identify proprietary information on the first page of any submission and every subsequent page that includes proprietary information with a label such as “Proprietary.” The Government shall protect against the unauthorized use or release of proprietary information obtained from the Respondent (or derived from information obtained from the Respondent) in response to the Government’s solicitation.

White Paper Content Requirements

The Phase 1 submission shall be a white paper submitted in two (2) parts:

A technical paper that does not exceed 5 pages and shall be a MS Word file or searchable PDF files with copy permission granted. A page is defined as each face of an 8½” x 11” sheet with information contained within a one-inch margin on all sides. Font type shall be Times Roman 12 point.

A PowerPoint presentation consisting, no more than five (5) slides, consisting of the Respondents capability statement and visual approach towards developing a Next-Generation Procurement Artificial Intelligence (AI) Powered Acquisition

The Government may use various non-Governmental advisors such as non-conflicted support contractors to assist in the review of any submitted materials. Such non-Governmental advisors are bound by non-disclosure agreements related to their access to proprietary business information as a part of their contracts with the Government. By responding to this RFI, the Respondent provides permission to the Government to allow these advisors to access any proprietary information contained in the submission for the purposes of supporting the review process. NOTE: The Government actively avoids actual or perceived organization and personal conflicts of interest when evaluating and selecting responses to any of its solicitations. To avoid impaired objectivity, the entities that provide assistance services to the Government are not competitors in the same field as the work contemplated in the solicitation and they are further prohibited from evaluating themselves.

Key Dates

Phase 1 White papers due July 2, 2026 Phase 2 Government Reviews submitted

White Papers July 2026

Phase 3 Government post information for an RFP

4th OTR, FY26

Questions

Respondents may submit questions until 5PM ET, 06/26/2026, by contacting this email, demario.a.grover@.dodiis.mil. The Government team will respond promptly or ask for a phone number to communicate outside of email. Please title this email “Question from [your company name].”

On behalf of the Government, thank you for your interest and participation in this effort.